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  1. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_M_CAM [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_M_CAM [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 4 February 2022

  2. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_00 [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_00 [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 4 February 2022

  3. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_02 [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_02 [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Data curator: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 4 February 2022

  4. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_01 [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_LIDAR_01 [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 3 February 2022

  5. DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_CAM [dataset] [Download]

    Title: DurLAR : A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications : DurLAR_20210716_CAM [dataset]
    Contributors: Creator: Breckon, Toby P. (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Li, Li (Durham University, UK)
    Creator: Ismail, Khalid (Durham University, UK)
    Creator: Shum, Hubert (Durham University, UK)
    Description:
    Keywords:
    Date Uploaded: 3 February 2022

  6. DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications [dataset]

    Collection icon
    Title: DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications [dataset]
    Contributors: Creator: Li, Li (Durham University, UK)
    Editor: Li, Li (Durham University, UK)
    Creator: Breckon, Toby P. (Durham University, UK)
    Editor: Breckon, Toby P. (Durham University, UK)
    Editor: Ismail, Khalid (Durham University, UK)
    Editor: Shum, Hubert (Durham University, UK)
    Description:
    Keywords: dense depth, monocular depth estimation, 3D, stereo vision, ground truth depth, high resolution LiDAR, dataset, autonomous driving, flash LiDAR
    Date Uploaded:

  7. Measuring Hidden Bias within Face Recognition via Racial Phenotypes [other] [Download]

    Title: Measuring Hidden Bias within Face Recognition via Racial Phenotypes [other]
    Contributors: Creator: Yucer, Seyma (Durham University, UK)
    Contact person: Yucer, Seyma (Durham University, UK)
    Editor: Breckon, Toby (Durham University, UK)
    Tektas, Furkan (BuboAI, Middlesbrough, UK)
    Al Moubayed, Noura (Durham University, UK)
    Description: Deposit consists of metadata files of two datasets and one machine learning model trained parameters. Code published on GitHub:  https://github.com/seymayucer/FacialPhenotypes
    Keywords: Facial phenotypes, Labels, Pre-trained models
    Date Uploaded: 20 April 2021

  8. Self-Supervised Image Classification [dataset] [Download]

    Title: Self-Supervised Image Classification [dataset]
    Contributors: Creator: Carbonneau, Patrice (Durham University, UK)
    Data collector: Dugdale, Steve (Nottingham University, UK)
    Data collector: Miyamoto, Hitoshi (Shibaura Institute of Tech., Japan)
    Data collector: Woodget, Amy (Loughborough University, UK)
    Data collector: Fonstad, Mark (University of Oregon)
    Data collector: Dietrich, James (University of Northern Iowa)
    Data collector: Breckon, Toby (Durham University)
    Description:
    Keywords: Deep Learning, Land-cover classification, Machine Learning, Hyperspatial Imagery, UAV imagery, Airborne imagery, Fluvial Remote Sensing
    Date Uploaded: 5 June 2019

  9. Generalised classification of fluvial scenes with deep learning methods [dataset] [Download]

    Title: Generalised classification of fluvial scenes with deep learning methods [dataset]
    Contributors: Creator: Carbonneau, Patrice (Durham University)
    Data collector: Dugdale, Steve (University of Nottingham)
    Data collector: Miyamoto, Hitoshi (Shibaura Institute of Tech., Japan)
    Data collector: Woodget, Amy (Loughborough University)
    Data collector: Fonstad, Mark (University of Oregon)
    Data collector: Dietrich, James (University of Northern Iowa)
    Data collector: Breckon, Toby (Durham University)
    Description: This data is linked to code in the following GitHub repository:  https://github.com/geojames/Self-Supervised-Classification
    Keywords: Deep learning, Fluvial remote sensing, UAV imagery
    Date Uploaded: 2 May 2019

  10. Managing and sharing research data:​ an RDM training course [other] [Download]

    Title: Managing and sharing research data:​ an RDM training course [other]
    Contributors: Creator: Syrotiuk, Nicholas (Durham University)
    Description:
    Keywords: RDM, Research data management, Data management planning
    Date Uploaded: 18 October 2019